Multi-Dimensional Parameter-Estimation Method for a Spatial Target Based on the Micro-Range Decomposition of a High-Resolution Range Profile by Xing Wang, Degui Yang, Zhichen Zhao

“…To address these challenges, this paper proposes a multi-dimensional parameter-estimation method for spatial targets based on micro-range decomposition. …”
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Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices by Lianlian Fu, Xinsheng Ding, Yuehui Ding

“…Existing papers have neglected the benefits of decomposition and instead directly utilise models to predict hog prices by capturing raw data. …”
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TNN-STME: A Matrix Decomposition Method for SAR Ship Real-Time Detection Using 2-D Asymmetric Resolution Mode by Chaoyue Liu, Yunkai Deng, Zhimin Zhang, Huaitao Fan, Heng Zhang, Xiangyang Qi, Wei Wang

“…The experiments show that the proposed method can realize the sparse target matrix extraction (STME) through matrix decomposition. …”
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Bearing fault diagnosis method based on SAVMD and CNN by SONG ChunSheng, LIANG YaRu, LU NiFang, DU Gang, JIA Bo

“…The intrinsic mode function (IMF) components were reconstructed by weighted kurtosis evaluation index, put them into convolutional neural network (CNN) model for fault classification. Finally, the proposed method was verified by numerical simulations with the open bearing data of Case Western Reserve University. …”
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A Novel Computational Framework for Time-Fractional Higher-Order KdV Models: CLADM-Based Solutions and Comparative Analysis by Priti V. Tandel, Anant Patel, Trushitkumar Patel

“…This study applies the Conformable Laplace Adomian Decomposition Method (CLADM) to solve generalized time-fractional Korteweg–de Vries (KdV) models, including seventh- and fifth-order models. …”
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Hybrid framework for improved PM2.5 prediction based on seasonal-trend decomposition and tailored component processing by Dongbao Jia, Wenjun Ruan, Rui Ma, Shiwei Zhao, Yichen Wang, Wei Xu, Weijie Zhou, Xinxin Ge, Zhongxun Xu

“…However, accurately forecasting PM2.5 levels presents significant challenges due to the complex, non-linear, and non-stationary characteristics inherent in the PM2.5 concentration data, which are influenced by diverse meteorological conditions, emission sources, and atmospheric transport dynamics. Existing prediction methods often struggle to adequately capture these multifaceted patterns simultaneously; single models may fail to address both long-term trends and seasonal variations as well as short-term stochastic fluctuations, while many hybrid decomposition approaches may not optimally utilize techniques suited to the distinct nature of each decomposed component, thereby limiting potential accuracy improvements. …”
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Implementing Astronomical Potential and Wavelet Analysis to Improve Regional Tide Modeling by Jihene Abdennadher, Moncef Boukthir

“…Such understanding is crucial for improving the representation of oceanic energy transfer and mixing processes in numerical models. To this end, the astronomical potential, load tide effects, and a wavelet-based analysis method were implemented in the three-dimensional ROMS model. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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An Improved Three-Component Decomposition Method for <inline-formula><tex-math notation="LaTeX">$\pi$</tex-math></inline-formula>/4 Mode Compact PolInSAR Using Refined Volume Scattering Models by Yu Wang, Weidong Yu, Daqing Ge, Bin Liu, Chunle Wang, Ling Zhang, Man Li

“…In this article, an improved three-component decomposition method for <inline-formula><tex-math notation="LaTeX">$\pi /4$</tex-math></inline-formula> compact polarimetric synthetic aperture radar Interferometry (PolInSAR) is proposed to interpret the scattering mechanisms of various terrain types. …”
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LDM: Large tensorial SDF model for textured mesh generation by Rengan Xie, Kai Huang, Xiaoliang Luo, Yizheng Chen, Lvchun Wang, Qi Wang, Qi Ye, Wei Chen, Wenting Zheng, Yuchi Huo

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An Integrated Model of Atom Search Optimization-Based Resonance Sparse Signal Decomposition and Cross-Validation SVM for Gearbox Fault Diagnosis by Fengfeng Bie, Yifan Wu, Ying Zhang, Jian Peng, Hongfei Zhu

“…Based on the key of the decomposition parameters in the resonant sparse decomposition method, the influence of atom search optimization (ASO) on the quality factor in the resonance-based sparse signal decomposition method is primarily studied. …”
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Calculation Method and Characteristic Analysis for Fault Current of Permanent Magnet Direct-Drive Wind Power System considering Positive and Negative Sequence Decomposition by Botong Li, Qing Zhong, Weijie Wen, Bin Li, Xiaolong Chen

“…In view of the fact that the influence of positive and negative sequence decomposition, which is widely used in positive and negative sequence decoupling control in control system, on the fault current calculation process is not deeply considered in the existing transient analysis methods of permanent magnet direct-drive wind farm short circuit current, this paper proposes a transient short circuit current calculation model that takes into account positive and negative sequence decomposition. …”
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Analysis on hydrodynamic interaction of two floating bodies with different dimensions using a hybrid two-way coupled field-domain decomposition method by Fujian LI, Xueqin LIU, Dan LI, Wei MENG, Zhuang KANG

“…ConclusionsThis study employs the hybrid two-way coupled field-domain decomposition method to validate the hydrodynamic interference model between two floating bodies. …”
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Methods Used in Forensic Linguistic Analysis by O. V. Kukushkina

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A 4D-EnKF Method via a Modified Cholesky Decomposition and Line Search Optimization for Non-Linear Data Assimilation by Elías D. Nino-Ruiz, Jairo Diaz-Rodriguez

“…This paper introduces an efficient approach for implementing the Four-Dimensional Variational Ensemble Kalman Filter (4D-EnKF) for non-linear data assimilation, leveraging a modified Cholesky decomposition (4D-EnKF-MC). In this method, control spaces at observation times are represented by full-rank square root approximations of background error covariance matrices, derived using the modified Cholesky decomposition. …”
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Maximum Accommodation Capacity Decomposition of Distributed Renewable Power Generation Considering Multi-Level Distribution Network by Donglei SUN, Yi SUN, Rui LIU, Pengkai SUN, Yumin ZHANG

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Influence of Battery Electrode Chemistry on Electrolyte Decomposition by Lasse Dettmann, Lars Olow Simon Colbin, Andrew J. Naylor

“…In this study, the influence of battery electrode chemistry on electrolyte decomposition is highlighted by investigating three different electrode materials in model battery systems: carbonaceous (glassy carbon), semi‐conducting (silicon), and metallic (copper). …”
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Multiscale Damage Identification Method of Beam-Type Structures Based on Node Curvature by Kai Ye, Shubi Zhang, Qiuzhao Zhang, Rumian Zhong, Wenda Wang

“…Firstly, based on the assumption that micro-damage has little effect on stress redistribution and the basic relationship between structural bending moment and curvature, combined with the denoising function of wavelet analysis, the linear matrix equation before and after node curvature damage is solved using the singular value decomposition (SVD) method. Then, the theoretical feasibility of this method is verified with laboratory tests of a simply supported beam. …”
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Numerical method for modeling of acoustic waves propagation by Sławomir DYKAS, Włodzimierz WRÓBLEWSKI, Sebastian RULIK, Tadeusz CHMIELNIAK

“…In this paper, numerical results of modeling of acoustic waves propagation are presented. …”
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Analysis of Thermal Decomposition of Solid Rocket Propellants by Marcin CEGŁA, Janusz ZMYWACZYK, Piotr KONIORCZYK

“…The inverse procedure of calculating the activation energy, based on the Ozawa-Flynn-Wall model is described. Finally, the results of thermal decomposition of two tested solid rocket propellants are presented along with maximum decomposition rates and percentage of mass loss.…”
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